Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/2468
Title: Multiobjective Genetic Algorithm Optimization of the Composite Laminates as a Satellite Structure Material for Coefficient of Thermal Expansion and Elastic Modulus
Authors: Aydın, Levent
Artem, Hatice Seçil
Keywords: Thermal expansion
Laminated composites
Multi-objective optimization
Thermomechanical loading
Satellite structures
Publisher: Institute of Electrical and Electronics Engineers Inc.
Source: Aydın, L., and Artem, H. S. (2009, June 11-13). Multiobjective genetic algorithm optimization of the composite laminates as a satellite structure material for coefficient of thermal expansion and elastic modulus. Paper presented at the 4th International Conference on Recent Advances in Space Technologies 2009. doi:10.1109/RAST.2009.5158179
Abstract: This study considers multi-objective optimal design of the fiber reinforced symmetric-balanced laminated composites using genetic algorithms. MATLAB Genetic Algorithm and Direct Search Toolbox is used to obtain Pareto-optimal design for three different model problems. The objectives of the problems are to maximize the Young's moduli and minimize the coefficient of thermal expansion (CTE) simultaneously for 8 and 16 layered carbon/epoxy composites. Simplified micromechanics equations and classical lamination theory are used in order to obtain the fitness functions of the problems. Stress and strain distributions are presented through the thickness of the laminates for the optimized problems under mechanical and thermal loadings.
Description: 4th International Conference on Recent Advances in Space Technologies 2009, RAST '09; İstanbul; Turkey; 11 June 2009 through 13 June 2009
URI: http://doi.org/10.1109/RAST.2009.5158179
http://hdl.handle.net/11147/2468
ISBN: 9781424436286
Appears in Collections:Mechanical Engineering / Makina Mühendisliği
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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